Cytokine single nucleotide polymorphisms in Iranian populations

Cytokines are important immunomodulatory molecules involved in immune responses against microorganisms; they also have an important role in the setting of immune system disorders. Cytokine single nucleotide polymorphisms have been extensively studied in different, normal populations as well as in association with disease. Cytokine gene polymorphisms are potentially important as genetic predictors of disease susceptibility, clinical outcome, and as a tool for anthropological studies. In this study, samples have been collected from 455 healthy individuals located in different regions of Iran (Tehran, Yazd, Sistan and Balochistan). Allele and genotype frequencies of cytokine SNP, including: IL-1alpha, IL-1beta, IL-1R, IL-1RA, IL-2, IL-4, IL-4RA, IL-6, IL-10, IL-12, TNF-alpha, TGF-beta and IFN-gamma were investigated, using the PCR-SSP method. Allele frequencies in Tehran and Yazd populations were similar, except for TGF-beta. Allele frequencies in Sistani & Baloch populations were similar at all positions, except for IL-1beta at position of -511 and IFN-gamma genes at position UTR5644; there were some differences in allele frequencies comparing these populations with the Yazd population, including: IL-4, IL-6, IL-10, TGF-beta and TNF-alpha. Although some significant differences were observed for some cytokines, it seems that the cytokine gene polymorphism profile of the Iranian population is similar to that of Caucasians, particularly the Italian population.     

Cytokine gene polymorphisms and cytokine levels in pulmonary tuberculosis

Polymorphisms in the cytokine genes are known to influence cytokine levels and may be associated with outcome of infections. We investigated the polymorphisms in the cytokine genes namely IFN-gamma (+874 and +5644), IL-2 (-330 and +160), IL-4 (VNTR), IL-6 (-174), IL-10 (-1082 and -819) and IL-12B (+1188) in 188 normal healthy subjects (NHS) and 166 pulmonary tuberculosis patients (PTB) using polymerase chain reaction-based methods. To study the influence of cytokine gene polymorphisms on cytokine levels, phytohaemagglutinin and culture filtrate antigen of Mycobacterium tuberculosis-induced cytokine levels were measured by ELISA from 72-h-old peripheral blood mononuclear cell culture supernatants. Significantly decreased frequency of TT genotype of IL-2 -330 polymorphism (p=0.024, odds ratio (OR) 0.53, 95% CI 0.31-0.92) was observed in patients compared to NHS. The genotype frequencies of other polymorphisms were not different between patients and NHS. IL-12p40 levels were significantly decreased among NHS with AA genotype of IL-12B gene polymorphism compared to NHS with AC genotype (p<0.05). Increased levels of IL-12p40 were observed among patients with CC genotype of IL-12B gene compared to patients with other genotypes (p<0.01). The present study suggests that the TT genotype of IL-2 -330 polymorphism may be associated with the protection to PTB in south India. Further, +1188 polymorphism of IL-12B gene either alone or in combination with closely linked genes may regulate IL-12p40 production and may play a major role on acquired immunity to tuberculosis.     

Interleukin-18 single nucleotide polymorphisms contribute to the susceptibility to brucellosis in Iranian patients

It seems that IL-18 has a crucial role in immunity against Brucella infection. Since the expression of IL-18 can be affected by polymorphisms in its gene, we decided to investigate any probable relationship between the six different IL-18 gene polymorphisms and brucellosis. A total of 193 patients with brucellosis and 83 healthy farmers who consumed contaminated raw milk and dairy products from the animals with brucellosis, were included in this study. All the individuals were genotyped for six IL-18 polymorphisms at positions -656, -607, -137, +113, +127 and codon 35/3, using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The distributions of alleles for IL-18 polymorphisms at positions -137G/+113T/+127C/codon 35/3A (correlated with higher production of IL-18) were significantly higher in healthy controls than in patients (P=0.012, 0.012, 0.012 and 0.0018, respectively). It could be suggested that individuals who inherited the aforementioned genotypes/alleles are able to produce higher levels of IL-18 at the onset of infection, and it leads to more IFN-gamma production and control Brucella infection before the emerging brucellosis.     

Cytokine gene polymorphisms and susceptibility to cutaneous leishmaniasis in Iranian patients

Cutaneous Leishmaniasis (CL) is one of the most prevalent clinical forms of leishmaniasis. Preliminary data suggest that cytokine gene polymorphisms can contribute to resistance or susceptibility to CL. Therefore, we investigated the association of functional polymorphisms in four cytokine genes with susceptibility to, and clinical outcome of CL. A total of 201 patients with self-healing cutaneous leishmaniasis (SCL) and 92 asymptomatic infected controls (AIC) from Fars province as well as 58 patients with chronic cutaneous leishmaniasis (CCL) and their 688 normal controls (normal Iranian population or NIP) who were collected from the different areas of Iran were included in the study. The allele-specific oligonucleotide polymerase chain reaction (ASO-PCR) or PCR-RFLP (restriction fragment length polymorphism) methods were used for genotyping. The frequency of TNF-alpha -308 G-->A and TNF-beta +252 G-->A gene polymorphisms were not different between studied groups. Distribution of IFN-gamma +874 A-->T and IL-4 -590 C-->T polymorphism were also compared between SCl or CCL patients and their controls. IFN-gamma +874 A-->T polymorphism was less common in CCL patients compared to the NIP (chi(2)=12.53, p=0.0019). Significant differences in frequency of IL-4 -590 C -->T polymorphism were also found between the SCL and AIC (chi(2)=8.64, p=0.003). In conclusion, our results suggest that functional genetic variants in the IL-4 promoter could influence the risk of developing CL while the polymorphism in the first intron of the IFN-gamma gene might influence the progression of disease towards CCL.     

miRNA相关单核苷酸多态性

miRNA相关单核苷酸多态性(miRNA-related single nucleotide polymorphisms或mirSNP)是可以导致miRNA基因调控功能缺失或紊乱的一类功能型SNP的总称。不论是miRNA靶基因结合位点,还是miRNA基因或miRNA加工基因上的mirSNP,都有可能影响miRNA对靶基因的调控。miRNA基因及miRNA加工基因上的mirSNP主要通过阻碍miRNA的生物合成而发挥功能,而靶基因结合位点上的mirSNP主要通过导致自由能的改变或功能构象的消失,影响miRNA与靶序列结合而丧失其原有的调控功能。mirSNP大多位于人类基因组基因间区和内含子区,与包括肿瘤在内的众多复杂性疾病密切关联。mirSNP不论对于复杂性疾病发病机制研究还是诊疗预后分子标志的确定都具有极其重要的研究价值。     

Detection of single nucleotide polymorphisms

Single nucleotide polymorphism (SNP) detection technologies are used to scan for new polymorphisms and to determine the allele(s) of a known polymorphism in target sequences. SNP detection technologies have evolved from labor intensive, time consuming, and expensive processes to some of the most highly automated, efficient, and relatively inexpensive methods. Driven by the Human Genome Project, these technologies are now maturing and robust strategies are found in both SNP discovery and genotyping areas. The nearly completed human genome sequence provides the reference against which all other sequencing data can be compared. Global SNP discovery is therefore only limited by the amount of funding available for the activity. Local, target, SNP discovery relies mostly on direct DNA sequencing or on denaturing high performance liquid chromatography (dHPLC). The number of SNP genotyping methods has exploded in recent years and many robust methods are currently available. The demand for SNP genotyping is great, however, and no one method is able to meet the needs of all studies using SNPs. Despite the considerable gains over the last decade, new approaches must be developed to lower the cost and increase the speed of SNP detection.     

Distribution of single nucleotide polymorphisms of IL-10 gene in patients with mucoviscidosis

Distribution of interleukin-10 promoter-1082 G-->A single nucleotide polimorphism (SNP) in the group of cystic fibrosis (CF) patients has been studied. As a whole 42 CF patients and 73 persons of the control group were genotyped for IL-10 promoter-1082 G-->A SNP. The frequences of IL-10-1082 G-allele and GG high expression genotype increased significantly in CF patients in comparison to the control group. In addition, study of IL-10-1082 SNP distribution in the separate CF groups showed statistically significant increasing of the G-allele and GG-genotype frequencies in the subgroup of homozygous delF508 cariers. The possible role of IL-10 promoter SNP as a phenotype modifiers at different CF genotypes is examined.     

Linkage analysis using single nucleotide polymorphisms

We performed multipoint linkage analysis using 83 markers from the SNP Consortium (TSC) SNP linkage map in 3 regions covering 190 cM previously scanned with microsatellite markers and found to be linked to type 2 diabetes. Since the average linkage disequilibrium present in the TSC SNP marker clusters is relatively low, we assumed the intracluster genetic distances were a reasonable small nonzero distance (0.03 cM) and performed linkage analysis using GENEHUNTER PLUS and ASM linkage analysis software. We found that for the pedigree structures and missing data patterns in our samples the average information content in all three regions and the LOD score curves in two regions obtained from the TSC SNP markers were similar to results obtained from microsatellite marker maps with 10 cM average spacing. We also give an algorithm which extends the Lander-Green algorithm to permit multipoint linkage analysis of clusters of tightly linked markers with arbitrarily high levels of intracluster linkage disequilibrium.     

单核苷酸多态概述

单核苷酸多态ＳＮＰ是遍布于基因组中的一种ＤＮＡ序列变化类型,人类基因组中平均约每一千碱基中有一个。单核苷酸多态是一种双等位型多态,群体中出现的频率大于１％或２％者视为多态,低于１％或２％的则视为突变。由于其具有高信息量、高密度又便于自动化操作的特点,单核苷酸多态在遗传性疾病基因的克隆和药物的设计与开发方面具有广阔的应用前景。本文对单核苷酸的概念、特点、应用前景,及其研究应用的一些问题作一综述。     

Prospects for inferring pairwise relationships with single nucleotide polymorphisms

An extraordinarily large number of single nucleotide polymorphisms (SNPs) are now available in humans as well as in other model organisms. Technological advancements may soon make it feasible to assay hundreds of SNPs in virtually any organism of interest. One potential application of SNPs is the determination of pairwise genetic relationships in populations without known pedigrees. Although microsatellites are currently the marker of choice for this purpose, the number of independently segregating microsatellite markers that can be feasibly assayed is limited. Thus, it can be difficult to distinguish reliably some classes of relationship (e.g. full-sibs from half-sibs) with microsatellite data alone. We assess, via Monte Carlo computer simulation, the potential for using a large panel of independently segregating SNPs to infer genetic relationships, following the analytical approach of Blouin et al. (1996). We have explored a 'best case scenario' in which 100 independently segregating SNPs are available. For discrimination among single-generation relationships or for the identification of parent-offspring pairs, it appears that such a panel of moderately polymorphic SNPs (minor allele frequency of 0.20) will provide discrimination power equivalent to only 16-20 independently segregating microsatellites. Although newly available analytical methods that can account for tight genetic linkage between markers will, in theory, allow improved estimation of relationships using thousands of SNPs in highly dense genomic scans, in practice such studies will only be feasible in a handful of model organisms. Given the comparable amount of effort required for the development of both types of markers, it seems that microsatellites will remain the marker of choice for relationship estimation in nonmodel organisms, at least for the foreseeable future.     

High resolution discrimination of clinical Mycobacterium tuberculosis complex strains based on single nucleotide polymorphisms

Recently, the diversity of the Mycobacterium tuberculosis complex (MTBC) population structure has been described in detail. Based on geographical separation and specific host pathogen co-evolution shaping MTBC virulence traits, at least 20 major lineages/genotypes have evolved finally leading to a clear influence of strain genetic background on transmissibility, clinical presentation/outcome, and resistance development. Therefore, high resolution genotyping for characterization of strains in larger studies is mandatory for understanding mechanisms of host-pathogen-interaction and to improve tuberculosis (TB) control. Single nucleotide polymorphisms (SNPs) represent the most reliable markers for lineage classification of clinical isolates due to the low levels of homoplasy, however their use is hampered either by low discriminatory power or by the need to analyze a large number of genes to achieve higher resolution. Therefore, we carried out de novo sequencing of 26 genes (approx. 20000 bp per strain) in a reference collection of MTBC strains including all major genotypes to define a highly discriminatory gene set. Overall, 161 polymorphisms were detected of which 59 are genotype-specific, while 13 define deeper branches such as the Euro-American lineage. Unbiased investigation of the most variable set of 11 genes in a population based strain collection (one year, city of Hamburg, Germany) confirmed the validity of SNP analysis as all strains were classified with high accuracy. Taken together, we defined a diagnostic algorithm which allows the identification of 17 MTBC phylogenetic lineages with high confidence for the first time by sequencing analysis of just five genes. In conclusion, the diagnostic algorithm developed in our study is likely to open the door for a low cost high resolution sequence/SNP based differentiation of the MTBC with a very high specificity. High throughput assays can be established which will be needed for large association studies that are mandatory for detailed investigation of host-pathogen-interaction during TB infection.     

IFNGR1 single nucleotide polymorphisms in rheumatoid arthritis

On the basis of their biological function, potential genetic candidates for susceptibility to rheumatoid arthritis can be postulated. IFNGR1, encoding the ligand-binding chain of the receptor for interferon gamma, IFNγR1, is one such gene because interferon gamma is involved in the pathogenesis of the disease. In the coding sequence of IFNGR1, two nucleotide positions have been described to be polymorphic in the Japanese population. We therefore investigated the association of those two IFNGR1 single nucleotide polymorphisms with rheumatoid arthritis in a case-control study in a central European population. Surprisingly, however, neither position was polymorphic in the 364 individuals examined, indicating that IFNGR1 does not contribute to susceptibility to rheumatoid arthritis, at least in Caucasians.     

Applications of single nucleotide polymorphisms in crop genetics

The discovery of single nucleotide polymorphisms (SNPs) and insertions/deletions, which are the basis of most differences between alleles, has been simplified by recent developments in sequencing technology. SNP discovery in many crop species, such as corn and soybean, is relatively straightforward because of their high level of intraspecific nucleotide diversity, and the availability of many gene and expressed sequence tag (EST) sequences. For these species, direct readout of SNP haplotypes is possible. Haplotype-based analysis is more informative than analysis based on individual SNPs, and has more power in analyzing association with phenotypes. The elite germplasm of some crops may have been subjected to bottlenecks relatively recently, increasing the amount of linkage disequilibrium (LD) present and facilitating the association of SNP haplotypes at candidate gene loci with phenotypes. Whole-genome scans may help identify genome regions that are associated with interesting phenotypes if sufficient LD is present. Technological improvements make the use of SNP and indel markers attractive for high-throughput use in marker-assisted breeding, EST mapping and the integration of genetic and physical maps.     

Characterisation of single nucleotide polymorphisms in sugarcane ESTs

Commercial sugarcane cultivars (Saccharum spp. hybrids) are both polyploid and aneuploid with chromosome numbers in excess of 100; these chromosomes can be assigned to 8 homology groups. To determine the utility of single nucleotide polymorphisms (SNPs) as a means of improving our understanding of the complex sugarcane genome, we developed markers to a suite of SNPs identified in a list of sugarcane ESTs. Analysis of 69 EST contigs showed a median of 9 SNPs per EST and an average of 1 SNP per 50 bp of coding sequence. The quantitative presence of each base at 58 SNP loci within 19 contiguous sequence sets was accurately and reliably determined for 9 sugarcane genotypes, including both commercial cultivars and ancestral species, through the use of quantitative light emission technology in pyrophosphate sequencing. Across the 9 genotypes tested, 47 SNP loci were polymorphic and 11 monomorphic. Base frequency at individual SNP loci was found to vary approximately twofold between Australian sugarcane cultivars and more widely between cultivars and wild species. Base quantity was shown to segregate as expected in the IJ76-514 × Q165 sugarcane mapping population, indicating that SNPs that occur on one or two sugarcane chromosomes have the potential to be mapped. The use of SNP base frequencies from five of the developed markers was able to clearly distinguish all genotypes in the population. The use of SNP base frequencies from a further six markers within an EST contig was able to help establish the likely copy number of the locus in two genotypes tested. This is the first instance of a technology that has been able to provide an insight into the copy number of a specific gene locus in hybrid sugarcane. The identification of specific and numerous haplotypes/alleles present in a genotype by pyrophosphate sequencing or alternative techniques ultimately will provide the basis for identifying associations between specific alleles and phenotype and between allele dosage and phenotype in sugarcane.Electronic Supplementary Material Supplementary material is available for this article at and is accessible for authorized users.     

Empirical Bayes analysis of single nucleotide polymorphisms

Background  

An important goal of whole-genome studies concerned with single nucleotide polymorphisms (SNPs) is the identification of SNPs associated with a covariate of interest such as the case-control status or the type of cancer. Since these studies often comprise the genotypes of hundreds of thousands of SNPs, methods are required that can cope with the corresponding multiple testing problem. For the analysis of gene expression data, approaches such as the empirical Bayes analysis of microarrays have been developed particularly for the detection of genes associated with the response. However, the empirical Bayes analysis of microarrays has only been suggested for binary responses when considering expression values, i.e. continuous predictors.     

New strategy to detect single nucleotide polymorphisms

A great effort has been made to identify and map a large set of single nucleotide polymorphisms. The goal is to determine human DNA variants that contribute most significantly to population variation in each trait. Different algorithms and software packages, such as PolyBayes and PolyPhred, have been developed to address this problem. We present strategies to detect single nucleotide polymorphisms, using chromatogram analysis and consensi of multiple aligned sequences. The algorithms were tested using HIV datasets, and the results were compared with those produced by PolyBayes and PolyPhred using the same dataset. Our algorithms produced significantly better results than these two software packages.     

Cytokine profiles in tuberculosis patients and healthy subjects in response to complex and single antigens of Mycobacterium tuberculosis

Peripheral blood mononuclear cells (PBMC) were obtained from tuberculosis (TB) patients and Mycobacterium bovis bacillus Calmette-Guerin vaccinated healthy subjects. PBMC were tested for secretion of tumor necrosis factor-alpha (TNF-alpha), interferon-gamma (IFN-gamma), interleukin-5 (IL-5) and IL-10 in response to complex (whole cells, culture filtrate and cell walls), single secreted (Ag85B, ESAT6, MPT64, PstS and MPT70) and single cytosolic (DnaK, GroES and GroEL) antigens of Mycobacterium tuberculosis. In the absence of antigens, detectable concentrations of TNF-alpha, IFN-gamma and IL-10 were secreted by PBMC of both donor groups, but the concentrations of only IL-10 were significantly higher (P=0.015) in TB patients than in healthy subjects. In the presence of complex antigens, PBMC secreted IFN-gamma and TNF-alpha in response to all three preparations, whereas IL-10 was secreted in response to whole cells and cell walls only. In the presence of single antigens, IFN-gamma was secreted in response to Ag85B, ESAT6 and MPT64 in TB patients and ESAT6 in healthy donors. Except for GroEL and DnaK, single antigens did not induce TNF-alpha and IL-10 secretion from PBMC in either donor group. The secretion of IFN-gamma, but not IL-10, in the presence of Ag85B, ESAT6 and MPT64 supports their potential as subunit vaccine candidates against TB.